• Journal of Korean Society of Transportation
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• v.13 no.1
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• pp.153-165
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• 1995

The budget management in Korea is one-year budget system which is just following int he steps of last years budget plan. This system towards traditional item-by-item and restriction-centered budget system. The budget distribution without establishing and considering rational policy goals and directions have brought inefficient resource allocations. In order to promote the implementation of transportation planning, there are some alternatives like introduction of top-down planning system preparing for the provincial self-government era. In this study, the most efficient alternatives to promote the existing management system is referring by foreign countries transportation planning examples(BVWP system in Germany). First of all, mid-long term transportation and budget planning should be established and then make decisions of resource availability and allocation. In order to provide ration budget planning, introduction of Transportation Planning Programming Budget System(TPBS) has been judged as one of the method of unifying the sysematic transportation improvement planning and budgeting. All transporation planning and related activites can not be expressed in quantity and due to the limitation of excessive cost of analyzing transportation planning and ranking priority, here after, the continuous study to minimize the evaluation cost and introduction of TPBS should be done.

• Health Policy and Management
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• v.7 no.2
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• pp.19-45
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• 1997

This study was performed to evaluate the appropriateness of resource allocation based on the ranking of health center function. Through the Delphi processes, health center functions were ranked in order of importance as follows; planning and research, followed by health education, health promotion, management of chronic diseases, health screening tests, welfare activities, mental health services, medical personnel management, medical services, prevention of communicable diseases, maternal and infant health services, housekeeping, management of oral hygiene, nutrition services, surveillance for community health services, family planning, and administration of the health center. In relation to the above priorities, the allocation of manpower was not appropriate. Even though the expert groups emphasized on functions such as planning and research, health education, and health promotion, they inputted more personnel for administration of a health center, maternal and infant health services, and medical services which were evaluated with lower importance. The budget allocation showed the same trends as the above. Although the functions such as planning and research, health education, and health promotion, and management of chronic diseases were evaluated highly, the budget was allocated accordingo to the the results of the former fiscal year rather than on the importance of function. However the budget for nutrition services, surveillance for the community health services, family planning, and administration of a health center was allocated according to priority. Based upon the above findings, community health center should be given the opportunity to make their own ranking of health center function and to allocate their resources including personnel and budget in order to improve the responsibilities and roles of the community health center.

• Journal of the military operations research society of Korea
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• v.6 no.1
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• pp.93-101
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• 1980

An effectively designed budget system in the poor resources environment necessarily has three design criteria : (i) to be both planning-oriented and control-oriented, (ii) to be both rationalistic and realistic, (iii) to be sensitive to the variations of resources environment. PPB system is an extreme (planning-oriented and rationalistic) and conventional OEB/OUB system is the other extreme (control-oriented and incrementalistic). Generally, the merits of rationalism are limited because of the infeasibility of applications. Hence, mixtures of the two extremes such as MBO, ZBB, and RZBB have been examined and applied during the last decade. The classical mathematical models of capital budgeting are the starting points of the development of the Budget-Mix Model introduced in this paper. They are modified by the followings: (i) technological-resource constraints, (ii) bounded-variable constraint, (iii) the exchange rules. Special emphasis is laid on the above (iii), because we need more efficient interresource exchanges in the budget-mix process. The Budget-Mix Model is not based on optimization, but a heuristic approach which assures a satisficing solution. And the application fields of this model range between the incremental Nonzero-Base Budgeting and the rational Zero-Base Budgeting. In this thesis, the author suggests 'the budget- mix concept' and a budget-mix model. Budget-mix is a decision process of making program-mix and resource-mix together. For keeping this concept in the existing organization realistic, we need the development of quantitative models describing budget-mix situations.

• Journal of Korean Society of Rural Planning
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• v.17 no.1
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• pp.13-27
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• 2011

This study analyzed the budget investment plans for the unit-project items(UPI) of 176 project districts for the rural village comprehensive development projects (RVCDP). This study classified the master plan reports of 176 project districts into 88 unit project items in aspect of project management, in order to analyze characteristics of distribution of budget in each project item. Most of all unit project items have similar types of uniform distribution with plus skewness in frequency pattern analysis except the total budget of the project district. This study analyzed the characteristics of budget distribution per province, year, and geographical types of region. Furthermore this paper also analyzed ratio of budget in unit project items to find out distribution pattern of each budget between project items over time. The hierarchical system for UPI of RVCDP consisted of three steps, which are 4 items of the first step on Strength of Rural-urban Exchange & Regional Capability (RURC), Green-income Infrastructure & Facility (GIF), Culture- health-welfare Facility, and Eco-environment & Landscape facility (ELF), 13 items for the second one, and 52 items for the third project items. From the results of the budget investment analysis for 5 years from 2004 to 2008, the budget investment ratios of RURC and ELF have steady state for every year, while GIF in decreasing and ELF in increasing over time. The ratios of UPI on infrastructure were decreased, whereas those on culture, health, and welfare were increased. Portion of tow project items among 52 items, which are community centers for village residents and rural experimental study facility, has 30% of total budget investment. Futhermore, the budget ratios of seven project items showed 50% of total budget. Average value of project budgets for five years was optimized as a type of exponential function in the case of decent array for ranking order.

• Journal of the Korean Home Economics Association
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• v.38 no.3
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• pp.131-147
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• 2000

The purpose of this study was to identify food management behavior of housewives in island areas and to find if the behavior patterns were different between the regions, Hansan and Ullung island. An instalment based on previous researches was designed to measure food management behavior and was administered to 274 housewives in 1994 and 1998. Considering the condition of cooking-equipment possession, the percentage of possession for refrigerator, mix, electric range were significantly higher for households in Hansan Island than their counterparts. For food-budget planning, those in Ullung Island were more likly to plan their budget than those in Hansan Island. Menu planning patterns, considerable factors for food selection as well as cooking, and eating habits between meals were tuned out to be different between Hansan and Ullung areas. The findings of this study suggest that the condition of cooking-equipment possession, food-budget and menu planning, considerable factors for food selection and cooking, eating habits between meals were likely to vary depending on regions. Although housewives in two areas were living in island, they were not necessarily be uniform for all households but were diversified in food management behavior. Half of the respondents in Hansan Island and three-forth of the respondents in Ullung Island reported they had not planned their meal budget. The percentage of those who did not have their planned menu was 52.7∼54.1% in Hansan Island and 37.1∼38.5% in Ullung Island. When purchasing food material, housewives in Hansan Island consider the seasoning food as the most important factor, whereas those in Ullung Island consider family preference as the most important factor

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.73-82
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• 2012

Currently, R&D investment of government is increased dramatically. However, the budget of the government is different depending on the size of ministry and priorities, and then it is difficult to obtain consensus on the budget. They did not establish decision support systems to evaluate and execute R&D budget. In this paper, we analyze factors affecting research funds by linear regression and decision tree analysis in order to increase investment efficiency in national research project. Moreover, we suggested strategies that budget is estimated reasonably.

• Korean Management Science Review
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• v.10 no.1
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• pp.81-105
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• 1993

The objective of the paper is to develop models for determining the aggregate budget size in long-range R&D planning of KT(Korea Telecom.) and for allocating it by strategically adopted technologies for KT's TOP(Telecommunication-Oriented Paradise) Strategy. In the model of R&D budget size determination, the linear regression analysis is applied. In allocating the R&D expenditure, criteria weighting and technological importance ranking are determined by means of the Analytic Hierarchy Process(AHP) as a decision aid, along with hierarchical representation and pairwse comparisons. R&D budget analysis provides to basic data for the mid-and long-range R&D planning. The model then needs to be adjusted as the TOP project plan becomes specific. Resource allocation model for R&D based on AHP can be used to identify the importance of the technologies for TOP according to short-, mid-, and long-term perspectives without further modification. It is expected that the R&D budget analysis model works as the basis for planning R&D investment strategies and that the resource allocation model for R&D contributes to the effective use of the limited resource.

• Journal of Korean Society of Rural Planning
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• v.8 no.2 s.16
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• pp.42-49
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• 2002

Since legislation of Rural Minor Road Improvement Act 1990, a quarter of its total length had been paved now. However, over 80% of arterial road length(national+provincial roads) had been paved, so, road improvement policy should be focussed on the local road(county+rural minor roads) from now. Generally, in the greater part of coastal plain and island areas, arterial road intensity(total road length/total catchment area) is relatively low, but local road intensity is relatively high. So, in terms of balanced development, much more efforts for rural minor road improvement should be concentrated in coastal plain and islands areas. In Chonnam Province, the maximum differentials of minor rural road improvement ratio was over 20%(the lowest; 14.1% in Goheung, the highest; 35.6% in Goksung) in 1999, but the improvement budget have been allocated in proportion to unpaved road length of each county by the provincial government. However, the differentials should not be fairly narrowed in the near future if the present budget allocation policy be maintained. To solve this problem, target differentials of rural minor road improvement between regions should be set up for each planning year and road improvement budget be allocated according to this policy change.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.2
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• pp.39-60
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• 1995

In this paper, an integration of stochastic dynamic programming (SDP), integer goal programming (IGP) and analytic hierarchy process (AHP) is proposed to handle multiobjective-multicriteria sequential decision making problems under uncertainty inherent in R & D investment planning. SDP has its capability to handle problems which are sequential and stochastic. In the SDP model, the probabilities of the funding levels in any time period are generated using a subjective model which employs functional relationships among interrelated parameters, scenarios of future budget availability and subjective inputs elicited from a group of decision makers. The SDP model primarily yields an optimal investment planning policy considering the possibility that actual funding received may be less than anticipated one and thus the projects being selected under the anticipated budget would be interrupted. IGP is used to handle the multiobjective issues such as tradoff between economic benefit and technology accumulation level. Other managerial concerns related to the determination of the optimal project portifolio within each stage of the SDP model. including project selection, project scheduling and annual budget allocation are also determined by the IGP. AHP is proposed for generating scenario-based transformation probabilities under budgetary uncertainty and for quantifying the environmental risk to be considered.

• Journal of Korea Technology Innovation Society
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• v.12 no.4
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• pp.819-839
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• 2009

Proposed increases to the government's R&D budget should be discussed based on merits of meeting efficiency and effectiveness criteria. The evaluation of the national R&D budget and related programs are performed in two areas: a system of R&D budget coordination and allocation, and a system of R&D program performance. This paper mainly focuses on the operational areas of R&D budget evaluation system with a focus on their impact to efficiency and effectiveness. The core view point for a R&D budget evaluation system involves two directions: Firstly, to detail the relationships between the later stage (ex. post) activities such as, program survey, analysis, and program performance evaluation, with the budget evaluation. Secondly, to critically oversee all R&D coordination procedures with a different perspective. Budgeting is generally known as a serial process of policy making, planning and executing. It is highly desirable for the budget to be allocated to, and spent by, specific programs as planned, and that each plan be aligned with a specific policy. As such, a strong relevance between the program structure and budget code system is integral to successful execution. It should be performed using a decision making system which closely examines the link between policy and budget. It is also recommended that systematic relationships be maintained among budget coordination and allocation, performance evaluations of policy and program levels, and program survey and analysis system, and that their operational schedule should be reviewed comprehensively as a one integrated system. The National Science and Technology Council is expected to play a major and practical role as the center of policy planning and should be supported by the objective and unbiased system which covers overall process from policy making to program evaluation. Finally, increased utilization of contents, timely program survey and analysis, and accurate of activity scheduling of budget coordination and allocation, and diligent program performance evaluation all contribute towards a more efficient and effective overall evaluation system.